Discourse Relations and Conjoined VPs: Automated Sense Recognition. - Valentina Pyatkin; Bonnie Webber (EACL (Student Research Workshop), 2017)

QANom: Question-Answer driven SRL for Nominalizations. - Ayal Klein; Jonathan Mamou; Valentina Pyatkin; Daniela Stepanov; Hangfeng He 001; Dan Roth 001; Luke Zettlemoyer; Ido Dagan (COLING, 2020)

QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines. - Valentina Pyatkin; Ayal Klein; Reut Tsarfaty; Ido Dagan (EMNLP (1), 2020)

The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing. - Valentina Pyatkin; Shoval Sadde; Aynat Rubinstein; Paul Portner; Reut Tsarfaty (ACL/IJCNLP (1), 2021)

Asking It All: Generating Contextualized Questions for any Semantic Role. - Valentina Pyatkin; Paul Roit; Julian Michael; Yoav Goldberg; Reut Tsarfaty; Ido Dagan (EMNLP (1), 2021)

Draw Me a Flower: Grounding Formal Abstract Structures Stated in Informal Natural Language. - Royi Lachmy; Valentina Pyatkin; Reut Tsarfaty (CoRR, 2021)

QASem Parsing: Text-to-text Modeling of QA-based Semantics. - Ayal Klein; Eran Hirsch; Ron Eliav; Valentina Pyatkin; Avi Caciularu; Ido Dagan (EMNLP, 2022)

Design Choices in Crowdsourcing Discourse Relation Annotations: The Effect of Worker Selection and Training. - Merel C. J. Scholman; Valentina Pyatkin; Frances Yung; Ido Dagan; Reut Tsarfaty; Vera Demberg (LREC, 2022)

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. - Yuling Gu; Yao Fu; Valentina Pyatkin; Ian Magnusson; Bhavana Dalvi Mishra; Peter Clark (CoRR, 2022)

Reinforced Clarification Question Generation with Defeasibility Rewards for Disambiguating Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (CoRR, 2022)

Draw Me a Flower: Processing and Grounding Abstraction in Natural Language. - Royi Lachmy; Valentina Pyatkin; Avshalom Manevich; Reut Tsarfaty (Trans. Assoc. Comput. Linguistics, 2022)

Revisiting Sentence Union Generation as a Testbed for Text Consolidation. - Eran Hirsch; Valentina Pyatkin; Ruben Wolhandler; Avi Caciularu; Asi Shefer; Ido Dagan (ACL (Findings), 2023)

ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations. - Valentina Pyatkin; Jena D. Hwang; Vivek Srikumar; Ximing Lu; Liwei Jiang; Yejin Choi 001; Chandra Bhagavatula (ACL (1), 2023)

"You Are An Expert Linguistic Annotator": Limits of LLMs as Analyzers of Abstract Meaning Representation. - Allyson Ettinger; Jena D. Hwang; Valentina Pyatkin; Chandra Bhagavatula; Yejin Choi 001 (EMNLP (Findings), 2023)

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. - Kavel Rao; Liwei Jiang; Valentina Pyatkin; Yuling Gu; Niket Tandon; Nouha Dziri; Faeze Brahman; Yejin Choi 001 (EMNLP (Findings), 2023)

Retrieving Texts based on Abstract Descriptions. - Shauli Ravfogel; Valentina Pyatkin; Amir David Nissan Cohen; Avshalom Manevich; Yoav Goldberg (CoRR, 2023)

PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (CoRR, 2023)

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. - Hamish Ivison; Yizhong Wang; Valentina Pyatkin; Nathan Lambert 001; Matthew E. Peters; Pradeep Dasigi; Joel Jang; David Wadden; Noah A. Smith; Iz Beltagy; Hannaneh Hajishirzi (CoRR, 2023)

Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design. - Valentina Pyatkin; Frances Yung; Merel C. J. Scholman; Reut Tsarfaty; Ido Dagan; Vera Demberg (Trans. Assoc. Comput. Linguistics, 2023)

Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties. - Taylor Sorensen; Liwei Jiang; Jena D. Hwang; Sydney Levine; Valentina Pyatkin; Peter West; Nouha Dziri; Ximing Lu; Kavel Rao; Chandra Bhagavatula; Maarten Sap; John Tasioulas; et al. (AAAI, 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Evan Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (ACL (1), 2024)

Explicating the Implicit: Argument Detection Beyond Sentence Boundaries. - Paul Roit; Aviv Slobodkin; Eran Hirsch; Arie Cattan; Ayal Klein; Valentina Pyatkin; Ido Dagan (ACL (1), 2024)

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models. - Paul Röttger; Valentin Hofmann; Valentina Pyatkin; Musashi Hinck; Hannah Kirk; Hinrich Schütze; Dirk Hovy (ACL (1), 2024)

PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. - Faeze Brahman; Chandra Bhagavatula; Valentina Pyatkin; Jena D. Hwang; Xiang Lorraine Li; Hirona Jacqueline Arai; Soumya Sanyal 001; Keisuke Sakaguchi; Xiang Ren 001; Yejin Choi 001 (ICLR, 2024)

Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. - Linlu Qiu; Liwei Jiang; Ximing Lu; Melanie Sclar; Valentina Pyatkin; Chandra Bhagavatula; Bailin Wang; Yoon Kim; Yejin Choi 001; Nouha Dziri; Xiang Ren 001 (ICLR, 2024)

Promptly Predicting Structures: The Return of Inference. - Maitrey Mehta; Valentina Pyatkin; Vivek Srikumar (NAACL-HLT, 2024)

The Art of Saying No: Contextual Noncompliance in Language Models. - Faeze Brahman; Sachin Kumar 009; Vidhisha Balachandran; Pradeep Dasigi; Valentina Pyatkin; Abhilasha Ravichander; Sarah Wiegreffe; Nouha Dziri; Khyathi Raghavi Chandu; Jack Hessel; Yulia Tsvetkov; Noah A. Smith; et al. (NeurIPS, 2024)

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. - Hamish Ivison; Yizhong Wang; Jiacheng Liu 010; Zeqiu Wu; Valentina Pyatkin; Nathan Lambert 001; Noah A. Smith; Yejin Choi 001; Hanna Hajishirzi (NeurIPS, 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (CoRR, 2024)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; LJ Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (CoRR, 2024)

Superlatives in Context: Explicit and Implicit Domain Restrictions for Superlative Frames. - Valentina Pyatkin; Bonnie Webber; Ido Dagan; Reut Tsarfaty (CoRR, 2024)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Faeze Brahman; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (CoRR, 2024)

Self-Directed Synthetic Dialogues and Revisions Technical Report. - Nathan Lambert 001; Hailey Schoelkopf; Aaron Gokaslan; Luca Soldaini; Valentina Pyatkin; Louis Castricato (CoRR, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (CoRR, 2024)

SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation. - Jing-Jing Li; Valentina Pyatkin; Max Kleiman-Weiner; Liwei Jiang; Nouha Dziri; Anne G. E. Collins; Jana Schaich Borg; Maarten Sap; Yejin Choi 001; Sydney Levine (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. - Lester James Validad Miranda; Yizhong Wang; Yanai Elazar; Sachin Kumar 009; Valentina Pyatkin; Faeze Brahman; Noah A. Smith; Hannaneh Hajishirzi; Pradeep Dasigi (ACL (1), 2025)

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs. - William Berkeley Sheffield; Kanishka Misra; Valentina Pyatkin; Ashwini Deo; Kyle Mahowald; Junyi Jessy Li (ACL (Findings), 2025)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild. - Bill Yuchen Lin; Yuntian Deng; Khyathi Raghavi Chandu; Abhilasha Ravichander; Valentina Pyatkin; Nouha Dziri; Ronan Le Bras 001; Yejin Choi 001 (ICLR, 2025)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; Lester James V. Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Findings), 2025)

Superlatives in Context: Modeling the Implicit Semantics of Superlatives. - Valentina Pyatkin; Bonnie Webber; Ido Dagan; Reut Tsarfaty (NAACL (Long Papers), 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance. - Paul Röttger; Musashi Hinck; Valentin Hofmann; Kobi Hackenburg; Valentina Pyatkin; Faeze Brahman; Dirk Hovy (CoRR, 2025)

RewardBench 2: Advancing Reward Model Evaluation. - Saumya Malik; Valentina Pyatkin; Sander Land; Jacob Morrison; Noah A. Smith; Hannaneh Hajishirzi; Nathan Lambert 001 (CoRR, 2025)

Generalizing Verifiable Instruction Following. - Valentina Pyatkin; Saumya Malik; Victoria Graf; Hamish Ivison; Shengyi Huang; Pradeep Dasigi; Nathan Lambert 001; Hannaneh Hajishirzi (CoRR, 2025)